Scale invariant image registration in the domain of art conservation

Bachelor Thesis (2022)
Author(s)

M.B. Spasov (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Ruben Wiersma – Mentor (TU Delft - Computer Graphics and Visualisation)

Ricardo Marroquim – Mentor (TU Delft - Computer Graphics and Visualisation)

Christoph Lofi – Graduation committee member (TU Delft - Web Information Systems)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2022 Mihail Spasov
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Mihail Spasov
Graduation Date
23-06-2022
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Image registration is the process that overlays two or more images from different sources taken at different times and angles. Art conservators take various scans of paintings and then register them against the original in order to learn more about the working style of the artist, materials used and physical changes throughout time. This paper describes how scale space theory could be applied with a variant of cross-correlation to find the right scale at which to register the input images. From there, the standard state-of-the-art approach is used to register the images. This added step allows automatically registering a wider range of images.

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